Artificial Intelligence Consultant
Summary
AI Architecture & Engineering Consultant in Singapore (hybrid, permanent): designs and builds scalable enterprise AI solutions on Microsoft Azure (Azure ML, Azure OpenAI, AKS), develops AI/ML and Generative AI/LLM systems with microservices and big data tech like Spark, Kafka and Hadoop, and provides technical leadership to engineering teams.
Job Title: AI Architecture & AI Engineering Consultant
Location: Singapore
Experience: 5+ Years
Employment Type: Permanent
Work Mode: Hybrid
Industry: IT Services & Consulting
Job Summary
We are looking for an experienced AI Architecture & AI Engineering Consultant to design, develop and implement scalable enterprise AI solutions. The ideal candidate should have strong expertise in AI/ML, Generative AI, Microsoft Azure services and microservices architecture, along with the ability to provide technical leadership and guide engineering teams.
Key Responsibilities
- Design and implement scalable AI architectures across cloud and on-premises environments.
- Develop and integrate AI/ML and Generative AI solutions.
- Work on AI models, algorithms, training, validation and deployment.
- Design and manage AI-based microservices and data integration workflows.
- Leverage Microsoft Azure services for AI solution development and deployment.
- Provide technical guidance to developers and engineering teams.
- Establish coding standards, testing strategies and architecture best practices.
- Collaborate with product owners, infrastructure teams and stakeholders.
- Participate in Agile development processes and drive continuous improvement.
Mandatory Technical Skills
- Strong knowledge of AI Architecture and AI Design Patterns.
- Machine Learning algorithms and Statistical Methods.
- Generative AI and Large Language Models (LLMs).
- Microsoft Azure, particularly:
- Azure Machine Learning
- Azure OpenAI Service
- Azure Kubernetes Service (AKS)
- Microservices Architecture and modern software development frameworks.
- Big Data technologies: Apache Spark, PySpark, Kafka and Hadoop.
- AI model training, testing, validation and deployment.
Additional Requirements
- Minimum 5+ years of experience in AI Architecture, AI Engineering or enterprise solution delivery.
- Strong analytical, problem-solving and communication skills.
- Experience in technical leadership and stakeholder management.
- Exposure to Agile methodologies and cross-functional team collaboration.
- Good English communication skills.
Interested candidates can share their updated CV along with their current and expected CTC, notice period and contact details.